Model Details
Full Model IDunsloth/FLUX.2-klein-4B-GGUF
Pipeline / Taskimage-to-image
Libraryggml
Downloads (all-time)270.6K
Likes220
Last Modified1/16/2026
Author / Orgunsloth
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("image-to-image", model="unsloth/FLUX.2-klein-4B-GGUF")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
ggmlgguftext-to-imageunslothimage-editingfluxdiffusion-single-fileimage-to-imageenbase_model:black-forest-labs/FLUX.2-klein-4Bbase_model:quantized:black-forest-labs/FLUX.2-klein-4Blicense:apache-2.0region:us
More image-to-image Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: image-to-image
This model is designed for the image-to-image task. Explore more models for this use case.
All image-to-image Models →📊 Popularity
⬇ Downloads270.6K
❤️ Community Likes220
🛠️ Requirements
- →Install: pip install ggml
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.